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ConferenceSeries Ltd warmly invites all the participants to this conference. The former International conferences on bioinformatics concentrated on varied areas related to Bioinformatics and their wide applications which have drawn outstanding speakers which include esteemed researchers from elite International Universities and professionals from leading associations. Past Conferences organized can be found in conference series webpage.

The Global Bioinformatics Market is estimated to gain USD 4,285.1 million by 2020 growing at a CAGR of 21.1%. Steady increase in the usage & application of bioinformatics for R&D programs designed for sequencing genomes to better understand biological systems and developing clinical studies in pharmacogenomics and pharmacokinetics for novel drug discovery studies are expected to drive demand for bioinformatics over the next six years. The presence of increasing market appeal for genetic databases management, and demand for related sequence, structural and phylogenic analysis tools and software is the dominant factor accounting for this large share.

The conference Bioinformatics Congress 2017 is a specially designed bundle meeting that involves an ample range of critically significant sessions. It would lay a platform for the interaction between experts all over the world and intends in advancing the scientific discoveries.

Systems biology includes the study of systems of biological components, which may be molecules, cells, organisms or entire species. Systems Biology deals with data and models at many different scales, from individual molecules through to whole organisms. Computational systems biology addresses questions fundamental to our understanding of life and progress here will lead to practical innovations in medicine, drug discovery and engineering. It aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. Systems Biology approach harnesses the power of computation and systems-level analyses to formulate and solve critical biological problems. This integrative approach of systems biology will close the loop from individual genetics to populations, and constitute the strongest asset for the successful translation of systems biology findings to clinical applications.

Proteomics is a branch of molecular biology that is concerned with the systematic, high-throughput approach to protein expression investigation of an organism or a cell. It is a large-scale comprehensive study of a specific proteome, including information on protein affluence, their variations and alterations, along with their interacting partners and networks, in order to discern cellular processes. Proteomics enables the understanding the structure, function and interactions of the entire protein content in a specific organism. Bioinformatics for proteomics has grown significantly in the recent years. The ability to process a high amount of data together with high specificity and precision of the new algorithm in the protein description, characterization and quantization makes it possible to obtain a high amount of elaborated data. Bioinformatics tools for proteomics have diverse applications ranging from simple tools to compare protein amino acid compositions to refined software for massive protein structure determination.

Genomics includes the study of genomes, particularly the set of techniques, analytical methods, and scientific questions related to the study of complete genomes. Scientists have progressed from the analysis of a small number of genes to the analysis of thousands of genes, from the study of the units of inheritance to the whole genome of an organism. Genomics straps the availability of complete DNA sequences for entire organisms by the latest next-generation sequencing technology. Next-generation sequencing has led to spectacular improvements in the speed, capacity and affordability of genome sequencing. Genome sequencing is expected to have the most impact in characterizing and diagnosing genetic diseases; for appropriate treatment; and providing information about an individual’s likely response to treatment to reduce adverse drug reactions. Genomics and bioinformatics are now poised to revolutionize the healthcare system by developing customized and personalized medicine.

Clinical Informatics otherwise known as Healthcare Informatics is the application of information technology and informatics to provide healthcare services. Clinical Informatics is concerned with use of information in health care by clinicians. Personalized Medicine assures patient-tailored treatments that upgrade patient care and reduce overall treatment costs by focusing on and “-omics” data gathered from patient. Preventive Medicine targets on the health of individuals, groups, and defined populations. Molecular Medicine strives to advocate the understanding of normal body functioning and disease pathogenesis at molecular level. Bioelectronic Medicine is the merging of molecular medicine, neuroscience and bioengineering to develop therapies. Clinical research leads to generation of high-quality, statistically sound and reliable data from clinical trials maintained in Clinical Databases. Bioinformatics tools are profitable in Medical Research helps in the comparison of genetic and genomic data and understanding of various molecules that are amenable for the disease helps to analyze and document the biological systems and pathways. The analytical capability of bioinformatics podium united with clinical data from patient in Electronic Medical Reports can affirm potential biomarkers and clinical phenotypes that allow researchers to develop experimental strategies using selected patient.

Evolutionary Bioinformatics is an advanced discipline that addresses the practice of data processing and the engineering of data for the investigation of biological evolution. Amassing of information at the huge scale has turned out to be progressively cost-efficient through latest advances in high-throughput genotyping and sequencing innovations. It sees genomes as medium for conveying different types of data through the generations from the past to present. The study of evolutionary biology uncovers that living beings of different types which were previously oblivious originated over the span of numerous eras mostly through moderate and progressive alterations.

Structural bioinformatics is a sub discipline of bioinformatics that deals with the three dimensional structures of biomolecules. This field portrays the goals to create methods for manipulating information about biological macromolecules and the application of these methods to solve problems in biology and creating new knowledge. It attempts to model and discover the basic principles underlying biological machinery at the molecular level. Structural bioinformatics combines applications of physical and chemical principles with algorithms from computational science. With the success of the genome sequencing projects, the evolution of high-throughput methods for expression analysis and compound identification, structural bioinformatics is now resurgent and is doing its part to accelerate the drug discovery process. The techniques that structural bioinformatics involves are particularly valuable in the area from target identification to lead discovery. Structural bioinformatics can be used for function and ligand prediction in the case of novel targets.

Practically about 600 bioinformatics tools were advanced over the past two years, and are being used to facilitate data analysis and its interpretation. Web assistance in bioinformatics provides interfaces that have been developed for an ample array of applications for bioinformatics. The main enhancement derived from the fact that end users do not have to deal with software and database preservation overheads. There are differing software predominant for bioinformatics like open-source, sequence alignment, healthcare, freeware molecular graphics systems, biomedical and molecular mechanics modelling. In more recent advances, the equivalent of an industrial revolution for ontology was pronounced by the apparition of latest technologies representing bio-ontologies.

Immunology involves the development and application of methods of bioinformatics, mathematics and statistics for the study of immune system biology. Through drug discovery mechanism new drugs can be discovered and designed and the causes of the diseases can be analyzed and ways could be found to tackle them. The modern drug discovery process integrates the understanding of the molecular basis for a disease with crucial understanding of how potential drug molecules interact with particular disease targets and the whole organism. Bioinformatics is a growing field which can explore the causes of diseases at the molecular level, explain the occurrence of the diseases from the genetic angle and make use of computer techniques to diminish the scope of study and enhance the efficiency of the results so as to curtail the cost and time.

Biostatistics is a branch of applied statistics and deals with developing and applying techniques to summarize and evaluate medical and biological data. The field of biostatistics to bioinformatics furnish quantitative answers to complicated questions from complicated data. The dominant objective of this conference is to conceive a medium for statisticians from across the world to present their latest study, discovery in statistical applications which can prompt novel research projects and directions as well as improve statistical programs. Specialized and technical methods have been made and are currently advancing in the fields of biostatistics and bioinformatics as a mutual resource to exhibit them with a wide range of favourable applications in genetics, genomics, and biomedical areas. The doctrine of biostatistics and bioinformatics will be popularized through driving applications which offers learning approach and therefore, is available to a wide range of fields.

Epigenetics is a study of effect on gene activity and expression by chromosomal changes and also heritable phenotypic change that doesn’t come from modification of a genome. Computational Epigenetics which uses data from bioinformatics datasets for analysis and modelling of DNA. Research areas including epigenetic data processing and analysis , epigenome prediction, applications in cancer epigenetics uses large amounts of data for data processing and to predict the epigenetic information from genomic sequence uses tools and software of bioinformatics. Research topics originating from this field are Population Epigenetics, Evolutionary Epigenetics, Genome Browsers and Medical Epigenetics.

Clinical case reports are compelling source of evidence in the field of medicine and is aimed to improve global health and concise about a common or critical clinical scenario and develop a broader search for evidence. Case reports provide detailed information of the symptoms, diagnosis, signs, treatment, and effect of an individual patient. It contains a demographic report of the patient, but usually portrays an unusual or new instance. A favourable case report gives a clear perception about the gravity of the observation being reported. Case report aids in the identification of advanced trends or diseases and discover new drug, its side effects and potential usage. It even analyzes limited manifestations of a disease. Case reports play a significant role in medical discipline thereby administering a structure for case-based training.

The 9th International Conference on Bioinformatics is scheduled to take place during November 13-14, 2017 at Paris, France which aims on foremost topics such as Structural Bioinformatics, Clinical Case Reports, Systems Biology, Proteomics, Genomics, Algorithms & Databases, Biostatistics, Immunology & Drug Discovery, Clinical Informatics and Evolutionary Bioinformatics. The past International conferences on bioinformatics concentrated on diverse areas related to Bioinformatics and their wide applications which have engaged protruding speakers which comprises of elevated scientists from finest International Universities and experts from noted associations. Conferences that previously organized can be seen in conference series webpage.

The conference aims to give a raised floor to scientists, academics and additionally modern expert to share and grasp any ideas for future viewpoints. This conference will highlight these most recent issues and innovative works. It focuses on speakers who hold high profiles i.e. dignified personalities in the field of Bioinformatics and other medical scientists. Individuals from scientific community are more bent towards Bioinformatics. This gathering advances transposing learning among colleagues and helps the rising patterns with new development in the enormous field of Bioinformatics.

Scope and Importance of Bioinformatics Research:

Bioinformatics uses advances in the area of computer science, information science, computer and information technology, communication technology to solve complex problems in life. Data capture, data warehousing and data mining have become major issues for biotechnologists and biological scientists due to sudden growth in quantitative data in biology such as complete genomes of biological species including human genome, protein sequences, protein 3-D structures, metabolic pathways databases, cell line & hybridoma information, biodiversity related information. Advancements in information technology, particularly the Internet, are being used to gather and access ever-increasing biological information. Functional genomics, proteomics, discovery of new drugs and vaccines, molecular diagnostic kits and pharmacogenomics are some of the areas in which bioinformatics has become an integral part of Research & Development. The knowledge of multimedia databases, tools to carry out data analysis and molecular modelling and biological systems on computer workstations as well as in a network environment has become essential for any Bioinformatics student. Bioinformatics, the multidisciplinary area, has grown so much that one divides it into molecular bioinformatics, organal bioinformatics and species bioinformatics. The importance and usefulness of Bioinformatics is realized in last few years by many industries. Therefore, large Bioinformatics R & D divisions are being established in many pharmaceutical companies, biotechnology companies and even in other conventional industry dealing with biological. Bioinformatics is thus rated as number one career in the field of biosciences.

Why it’s in Paris, France?

Paris, the City of Light, is the most populated city in France. Known for its architecture, museums, bridges, cathedrals, wide and luxurious boulevards, elegant cuisine, and numerous monuments, it also homes one of the oldest universities in history, University of Paris. The history of Paris goes back more than 2,000 years when some 60 Celtic tribes called the Gauls inhabited the region and Parisii, one of their tribes, eventually gave their name to the present-day city.

With the development of in silico methods, Bioinformatics has progressed in France and the establishment of two administrative organizations, the Groupement de Recherche sur les Génomes (GREG) and the Groupement de Recherche 1029 (GDR 1029) of the Centre National de la Recherche Scientifique (CNRS) . These organizations have created the dynamics that placed France among the developed nations that support research in Bioinformatics. France has a tradition of scientific and technological innovation and ensures students to fully utilize their creativity. Paris plays host to leading centres of learning in the European region. According to the French Biotechnology Report, the industry is anticipated CAGR of 2.1% for a five-year period 2014-2019, thereby contributing a value of $6.5bn by the end of 2019. France is the world’s fourth largest biotech industry with 23 listed biotech companies. It has around seven pharma/biotech innovation clusters Lyon Biopôle (world-class cluster, Rhône-Alpes), Medicen (world-class cluster, Paris region), Alsace Biovalley (world-class candidate cluster, Alsace), Atlantic Biotherapies (Pays de la Loire), Cancer Bio Santé (Midi-Pyrénées, Limousin), Eurobiomed (Languedoc Roussillon, Provence-Alpes-Côte d’Azur). Paris is also known to attract Biotechs as it accommodates the biggest Biotech cluster in Europe with 56 Biotech companies. Paris is a fertile ground for innovative companies, with radical inventions and ideas.

According to Bcc report, it is estimated that the global bioinformatics market was valued at nearly $2.8 billion in 2011, nearly $3.2 billion in 2012, and is forecast to grow to nearly $7.5 billion by 2017 after increasing at a compound annual growth rate (CAGR) of 18.7%. The bioinformatics market is projected to reach USD 16.18 Billion by 2021 from USD 6.21 Billion in 2016, growing at a CAGR of 21.1% during the forecast period according to MarketsandMarkets report. As per the Allied Market Research, the global Bioinformatics market was valued at $3.4 billion in 2013, and it is expected to reach $12.8 billion by 2020. The market is expected to grow at a CAGR of 21.2% during 2014-2020. Major contributing factors for this growth are increasing application of drug discovery and development using bioinformatics tools, which proves to be cost and time efficient for the pharmaceutical companies. However, the bioinformatics platforms segment is expected to grow at the highest CAGR during the forecast period; high growth in this segment can be attributed to the advantages of bioinformatics platforms, such as reduction in overall time for processing data, phylogenetic analysis, and identification of sequence similarity. By 2020, knowledge management tools are expected to take over platform market and would emerge as the highest revenue generating segment in the overall bioinformatics technology and service market. European market will grow from nearly $1.1 billion in 2015 to $1.7 billion in 2019 at a CAGR of 12.0% for the period 2014-2019.

Market Growth of Bioinformatics Research:

The global bioinformatics market is expected to grow at a CAGR of 15.5% between 2014 and 2020. The market was worth US$10.04 bn in 2013 and is projected to reach US$30.87 bn by the end of 2020. The drug development segment is anticipated to lead all application segments. North America is expected to maintain its dominance in the global bioinformatics market with a revenue worth US$11,927.9 mn by 2020. Asia Pacific is expected to witness the highest growth with a CAGR of 18.7% throughout the forecast period. To maintain their position in the global bioinformatics market, the large number of market players operating in the global bioinformatics market are investing in research and development projects. They are also looking forward towards technological advances for increasing application in biosciences and integrated information technology. The top three market players in the global bioinformatics are Affymetrix Inc., Accelrys Inc., and CLC bio A/S. They together comprise approximately 34.6% of the overall global bioinformatics market in 2014. The expansion of biotechnology applications in fields of forensic research and disease diagnosis is drawing the attention of various healthcare organizations and professionals. According to the TMR report, biotechnology with technological and process advancements tends to create high-wage job opportunities in developing and developed countries due to which governments are focusing on the growth of the biotechnology industry.

For better and accurate results, it is imperative that the bioinformatics techniques are operated by skilled personnel. The need for heavy investment in installation and tools upgradation training tends to impede the growth of the industry. Due to this, there is a lack of skilled manpower in the bioinformatics sector who can adapt to sophisticated and high-end biotechnology process and techniques. The scarcity of skilled workers is hindering the growth process of large clinical laboratories as they struggle to automate their processes. On the other hand, the small and medium laboratories have amplified their efforts to abridge and boost their operations with the available resources. Research and development activities also demand highly skilled personnel, but the lack of it is obstructing the growth process making it difficult for organizations and market players to benefit from their research investments.

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